Results 31 to 40 of about 4,939,244 (349)
Mendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and ...
Liza Darrous +2 more
doaj +1 more source
Mendelian randomization for cardiovascular diseases: principles and applications
Large-scale genome-wide association studies conducted over the last decade have uncovered numerous genetic variants associated with cardiometabolic traits and risk factors.
Susanna C. Larsson +2 more
semanticscholar +1 more source
Clustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiology. [PDF]
BACKGROUND: In conventional epidemiology confounding of the exposure of interest with lifestyle or socioeconomic factors, and reverse causation whereby disease status influences exposure rather than vice versa, may invalidate causal interpretations of ...
Timpson, NJ +23 more
core +1 more source
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Genome‐wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potentially a powerful source of data for Mendelian randomization investigations.
S. Burgess, A. Butterworth, S. Thompson
semanticscholar +1 more source
Understanding the Assumptions Underlying Mendelian Randomization [PDF]
With the rapidly increasing availability of large genetic data sets in recent years, Mendelian Randomization (MR) has quickly gained popularity as a novel secondary analysis method. Leveraging genetic variants as instrumental variables, MR can be used to estimate the causal effects of one phenotype on another even when experimental research is not ...
Christiaan de Leeuw +4 more
openaire +3 more sources
Mendelian randomization studies do not support a role for raised circulating triglyceride levels influencing type 2 diabetes, glucose levels, or insulin resistance. [PDF]
OBJECTIVE: The causal nature of associations between circulating triglycerides, insulin resistance, and type 2 diabetes is unclear. We aimed to use Mendelian randomization to test the hypothesis that raised circulating triglyceride levels causally ...
Gaunt, TR +89 more
core +1 more source
Mendelian randomization can be used to mimic the effects of protein-targeting drugs in a population of individuals. Here, the authors have identified potential causal proteins for stroke in a two-sample Mendelian randomization framework, providing ...
Lingyan Chen +18 more
doaj +1 more source
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Observational epidemiological studies are prone to confounding, reverse causation and various biases and have generated findings that have proved to be unreliable indicators of the causal effects of modifiable exposures on disease outcomes.
G. Davey Smith, G. Hemani
semanticscholar +1 more source
The next step in Mendelian randomization
Expanding a statistical approach called Mendelian randomization to include multiple variables may help researchers to identify new molecular causes of specific traits.
Matthias Weith, Andreas Beyer
openaire +3 more sources
Using Mendelian Randomization to Improve the Design of Randomized Trials [PDF]
Randomized controlled trials and Mendelian randomization studies are two study designs that provide randomized evidence in human biological and medical research.
Davey Smith, George +2 more
core +1 more source

